Using Evolutionary Algorithms to Understand and Secure Web/Enterprise Systems

Informazioni relative al progetto

EAST

ID dell’accordo di sovvenzione: 864972

DOI

10.3030/864972

Data della firma CE 9 Marzo 2020

Data di avvio 1 Agosto 2020

Data di completamento 31 Gennaio 2027

Finanziato da

• EXCELLENT SCIENCE - European Research Council (ERC)

Costo totale

€ 2 000 000,00

Contributo UE

€ 2 000 000,00

Coordinato da

HOYSKOLEN KRISTIANIA - ERNST G. MORTENSENS STIFTELSE
Norway

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

Open Research Data Pilot (1)

Data Management Plan

"Information concerning the Data Management Plan is described in Annex 1 under ""Work Package 12"" 1. Making data Findable, 2. Making data openly Accessible, 3. Making data Interoperable, 4. Increase data Re-use, 5. Allocation of recourses and data security The data management plan will also have to specify if certain datasets remain closed and the reasons for not giving access should be given."

Pubblicazioni

Peer reviewed articles (8)

White-box Fuzzing RPC-based APIs with EvoMaster: An Industrial Case Study

Autori: Man Zhang,Andrea Arcuri,Yonggang Li,Yang Liu,Kaiming Xue
Pubblicato in: ACM Transactions on Software Engineering and Methodology, 2023, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3585009

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

Autori: Man Zhang, Andrea Arcuri
Pubblicato in: ACM Transactions on Software Engineering and Methodology, 2023, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3597205

Enhancing Search-based Testing with Testability Transformations for Existing APIs

Autori: Andrea Arcuri, Juan Pablo Galeotti
Pubblicato in: ACM Transactions on Software Engineering and Methodology, Numero 31(1), 2021, Pagina/e 1-34, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3477271

Random Testing and Evolutionary Testing for Fuzzing GraphQL APIs

Autori: Asma Belhadi, Man Zhang, Andrea Arcuri
Pubblicato in: ACM Transactions on the Web, 2023, ISSN 1559-1131
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3609427

JavaScript SBST Heuristics To Enable Effective Fuzzing of NodeJS Web APIs

Autori: Man Zhang, Asma Belhadi, Andrea Arcuri
Pubblicato in: ACM Transactions on Software Engineering and Methodology, 2023, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3593801

Building an open-source system test generation tool: lessons learned and empirical analyses with EvoMaster

Autori: Andrea Arcuri; Man Zhang; Asma Belhadi; Bogdan Marculescu; Amid Golmohammadi; Juan Pablo Galeotti; Susruthan Seran
Pubblicato in: Software Quality Journal, Numero 1, 2023, ISSN 1573-1367
Editore: springer
DOI: 10.1007/s11219-023-09620-w

".NET/C# Instrumentation for Search-Based Software Testing"

Autori: Golmohammadi, A., Zhang, M., Arcuri, A
Pubblicato in: Software Quality Journal, 2023, ISSN 1573-1367
Editore: springer
DOI: 10.1007/s11219-023-09645-1

Testing RESTful APIs: A Survey

Autori: Amid Golmohammadi, Man Zhang, Andrea Arcuri
Pubblicato in: ACM Transactions on Software Engineering and Methodology, 2023, ISSN 1049-331X
Editore: Association for Computing Machinary, Inc.
DOI: 10.1145/3617175

Other (2)

Causes and Effects of Fitness Landscapes in System Test Generation: A Replication Study

Autori: O. Sahin, M. Zhang, Andrea Arcuri
Pubblicato in: Arxiv, 2025
Editore: Arxiv
DOI: 10.48550/arxiv.2502.00169

Fuzzing Microservices: A Series of User Studies in Industry on Industrial Systems with EvoMaster

Autori: M. Zhang, Andrea Arcuri, Y. Li, K. Xue, Z Wang, J. Huo, W Huang
Pubblicato in: 2024
Editore: Arxiv
DOI: 10.48550/arxiv.2208.03988

Conference proceedings (12)

Widening The Adoption of Web API Fuzzing: Docker, GitHub Action and Python Support for EvoMaster - DEMO TRACK

Autori: Andrea Arcuri, P. Garrett, J.P. Galeotti, M. Zhang.
Pubblicato in: ACM International Conference on the Foundations of Software Engineering (FSE), 2025
Editore: https://github.com/WebFuzzing/EvoMaster/blob/master/docs/publications.md

EMB: A Curated Corpus of Web/Enterprise Applications And Library Support for Software Testing Research

Autori: Andrea Arcuri; Man Zhang; Amid Golmohammadi; Asma Belhadi; Juan P. Galeotti; Bogdan Marculescu; Susrutha Seran
Pubblicato in: ICST, 2023
Editore: ieee
DOI: 10.1109/icst57152.2023.00047

Seeding and Mocking in White-Box Fuzzing Enterprise RPC APIs: An Industrial Case Study.

Autori: M. Zhang, Andrea Arcuri, P. Teng, K. Xue, W. Wang.
Pubblicato in: IEEE/ACM International Conference on Automated Software Engineering (ASE), Industry Track., 2024
Editore: Github

Search-based Security Testing of Enterprise Microservices

Autori: S. Seran
Pubblicato in: EEE International Conference on Software Testing, Validation and Verification (ICST), Doctoral Symposium., 2024
Editore: Github

Technology Adoption Performance Evaluation Applied to Testing Industrial REST APIs.

Autori: A. Poth, O. Rrjolli, Andrea Arcuri.
Pubblicato in: Automated Software Engineering (AUSE)., 2024
Editore: Github

Evolutionary-based automated testing for GraphQL APIs

Autori: Asma Belhadi,Man Zhang,Andrea Arcuri
Pubblicato in: GECCO, 2022
Editore: ACM
DOI: 10.1145/3520304.3528952

Introducing Black-Box Fuzz Testing for REST APIs in Industry: Challenges and Solutions.

Autori: Andrea Arcuri, A. Poth, O. Rrjolli
Pubblicato in: IEEE International Conference on Software Testing, Validation and Verification (ICST), Industry Track, 2025
Editore: IEEE International Conference on Software Testing, Validation and Verification (ICST)

JavaScript Instrumentation for Search-Based Software Testing: A Study with RESTful APIs

Autori: Man Zhang; Asma Belhadi; Andrea Arcuri
Pubblicato in: ICST, 2022
Editore: IEEE
DOI: 10.1109/icst53961.2022.00022

Tool Report: EvoMaster -- Black and White Box Search-Based Fuzzing for REST, GraphQL and RPC APIs.

Autori: Andrea Arcuri, M. Zhang, S. Seran, J.P. Galeotti, A. Golmohammadi, O. Duman, A. Aldasoro, H. Ghianni.
Pubblicato in: Automated Software Engineering (AUSE), 2024
Editore: Github

Multi-Phase Taint Analysis for JSON Inference in Search-Based Fuzzing

Autori: S. Seran, O. Duman, Andrea Arcuri.
Pubblicato in: IEEE International Workshop on Search-Based and Fuzz Testing (SBFT), 2025
Editore: Github

Advanced White-Box Heuristics for Search-Based Fuzzing of REST APIs.

Autori: Andrea Arcuri, M. Zhang, J.P. Galeotti.
Pubblicato in: ACM Transactions on Software Engineering and Methodology (TOSEM), 2024
Editore: ACM Transactions on Software Engineering and Methodology (TOSEM)

Search-Based White-Box Fuzzing of Web Frontend Applications

Autori: I. Kertusha
Pubblicato in: IEEE International Symposium on Software Reliability Engineering (ISSRE), Doctoral Symposium., 2024
Editore: Github